33 lines
997 B
Python
33 lines
997 B
Python
#!/usr/bin/env python3
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"""Configuration loader for agentic research app."""
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from pydantic_settings import BaseSettings
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from functools import lru_cache
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class Settings(BaseSettings):
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ollama_url: str = "http://10.0.1.127:11434"
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gpt_oss_model: str = "gpt-oss:20b"
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marker_api_url: str = "http://localhost:8001"
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ocr_url: str = "http://10.0.1.127:11434"
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deepseek_ocr_url: str = "http://10.0.1.127:11434"
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deepseek_ocr_model: str = "deepseek-ocr"
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db_host: str = "localhost"
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db_port: int = 5432
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db_name: str = "research"
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db_user: str = "research"
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db_password: str = "research123"
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app_host: str = "0.0.0.0"
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app_port: int = 8000
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workspace_dir: str = "/home/oval/Projects/agentic/workspace"
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documents_dir: str = "/home/oval/Projects/agentic/workspace/documents"
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vector_dim: int = 4096
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embedding_model: str = "qwen3-embedding:8b"
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model_config = {"env_file": ".env"}
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@lru_cache()
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def get_settings() -> Settings:
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return Settings()
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